CMU School of Computer Science '27

William
Montague

Builder. Researcher. Founder. Shipping AI/ML across biomedicine and roboticsfrom research to production. Incoming SWE @ DoorDash.

B.S. Artificial IntelligenceMinor in Computational BiologyMinor in Business Administration
William Montague

About Me

I'm an undergraduate at Carnegie Mellon University's School of Computer Science, majoring in Artificial Intelligence with minors in Computational Biology and Business Administration. I build things — from startups to ML systems in production. My interest in computational biology goes back to CMU's Pre-College Programin fall 2021, where I first studied the field — a thread I've been pulling on ever since, now focused on generative AI in biomedicine, personalized medicine, and intelligent prosthetics.

As head of engineering/AI at Caboodl, I shipped a RAG-powered mobile app and won $13.5K+ across pitch competitions. At NiSource, I deployed a weather-outage prediction model serving 430K+ customers and presented to the CEO. At the CMU Robotics Institute, I researched human-robot interaction and theory of mind for autonomous systems.

From the South Side of Chicago. Former NCAA sprinter at CMU. When I'm not shipping, you'll find me freestyle rapping, reading, or grinding League.

Relevant Coursework

PhD NLPPhD Deep RLGraduate MLMobile RoboticsComputer SystemsAlgorithmsTheoretical Computer Science

Technical Skills

Languages

PythonC/C++TypeScriptSQLSMLR

ML & AI

PyTorchNumPyScikit-LearnOpenAI

Frameworks

React / React NativeNext.jsFlaskFastAPI

Tools & Platforms

AWS EC2AzureROSPowerBIJira

“Be the designer of your world, not merely the consumer of it.”

— James Clear

Experience

Incoming Software Engineering Intern

DoorDash

May 2026 — August 2026

San Francisco, CA

Software Engineering

Teaching Assistant, Ethics, Policy Issues & Computing

CMU Software and Societal Systems Department

January 2025 — Present

Pittsburgh, PA

  • ›Lead recitations for 40 students, applying ethical frameworks to analyze emerging tech challenges and social impacts.
  • ›Conduct targeted 1:1 mentoring sessions to strengthen students' critical writing abilities and ethical reasoning skills.
TeachingEthics in AI

Machine Learning Engineer Intern

NiSource: Columbia Gas of Ohio

May 2025 — August 2025

Columbus, OH

  • ›Designed a weather-outage prediction model using SQL, Python and ensemble methods (XGBoost, deep neural networks, logistic regression, MLP) to analyze patterns across NiSource's 430K+ customers; presented findings to CEO & executives.
  • ›Developed monthly PowerBI reports analyzing speech analytics and sentiment data to optimize call center performance.
MLPythonXGBoostSQLPowerBI

Human-Robot Interaction Research Assistant

CMU Robotics Institute — HARP Lab

February 2025 — December 2025

Pittsburgh, PA

  • ›Modified visualization tools to model second-order theory of mind, enhancing robot-human interaction.
  • ›Adapted Python/Flask integration of Bayesian models and HTML interfaces to improve visualization across 30 user trials.
  • ›Researched cognitive frameworks for autonomous systems to help robots better predict and respond to human expectations.
HRIPythonFlaskBayesian ModelsROS

Community Data Specialist

Digital Youth Network, Northwestern University

June 2024 — December 2024

Chicago, IL

  • ›Analyzed STEM programming data across 680 Chicago schools; built Python/R scraper aggregating 720 community programs for Argonne National Labs.
PythonRTableauAirtableData Scraping

STEAMbassador

(tiilt) Lab, Northwestern University

June 2023 — August 2023

Chicago, IL

  • ›Led workshops for 50 students on block coding and sports hardware using Micro-bits; presented findings to Chicago Vice Mayor.
CS EducationCommunity OutreachHardware

Projects

Caboodl

Startup · Jan 2026 · McGinnis 3rd Place

As head of engineering/AI, won $3.5K + $10K in AWS credits across pitch competitions, secured invitation to University of Michigan VC fair, and joined a CMU startup accelerator whose cohort raised over $1.5M last semester.

Built a full-stack mobile application in Beta on TestFlight featuring personalized beauty product recommendations via RAG pipeline over vectorized TikTok transcripts and Sephora data.

CMR Driverless — RL Systems

Sep 2025

Pioneering DAgger-SAC hybrid bootstrapping autonomous racing from MPPI expert to reduce sample complexity.

Implementing curriculum learning and dynamics-based reward shaping for high-speed continuous control on Carnegie Mellon Racing's driverless vehicle.

What Dough

2nd Place

Social group budgeting app that treats spending as a shared experience — because no one wants to say they can't afford to make plans. Won 2nd Place in the TartanHacks Visa Challenge.

Built a social group budgeting app that treats spending as a shared experience. The app allows users to create groups, track expenses, and split costs among members. Won 2nd Place in the TartanHacks Visa Challenge.

Daedalus LabsTartanHacks

Cryptarithm Calculator

A cryptarithm solver using Forward Checking + MRV heuristic with a custom deployed XGBoost model to check solvability.

Built a web application that solves cryptarithm puzzles using classical AI search techniques (Forward Checking + Minimum Remaining Values heuristic) and a custom deployed XGBoost model to predict solvability. The application scrapes puzzle data from various sources and provides step-by-step solutions with explanations.

FastAPIXGBoostClassical AI Search

SportIQ

Led backend architecture for a sports learning Python app that secured 60 signups and advanced to the second round of a graduate-level McGinnis Venture Competition.

Scraped ESPN live data using BeautifulSoup, Regex and Postman to generate OpenAI-powered MLB learning modules. Conducted 60+ stakeholder interviews, including Pittsburgh Pirates' Director of Entertainment, to inform development.

PythonOpenAIBeautifulSoupPostman

Leadership & Involvement

SCS Student Advisory Council

Executive Board Member

April 2024 — Present
  • ›Committed 6-8 hours weekly leading day-to-day operations, mentoring newer board members, and working directly with Deans and Program Advisors to organize initiatives and events for 1,000+ SCS students.
  • ›Collaborated with administration on policy changes to reduce Dean's list pressure and expand diversity recruitment in SCS.

ColorStack

President

April 2025 — Present
  • ›Dedicated 4-5 hours weekly managing 9-person executive board and acquired NVIDIA sponsorship while coordinating events with corporate partners including Bloomberg.
  • ›Initiated SCS funding partnership for StackedUp Summit attendance and organized 4+ collaborative events with Black student organizations to increase CS engagement.

Awards & Honors

  • •CMU Innovation Scholar (top 12/80 most entrepreneurial students)
  • •SCS Leadership Seminar (14/500+ invited)
  • •McGinnis Venture Competition 3rd Place
  • •TartanHacks Visa Challenge 2nd Place

Additional Roles

  • •Vice President — Sigma Epsilon Phi (Entrepreneurship Fraternity)
  • •Student Course Instructor
  • •Former NCAA Athlete (Track & Field)

Affiliations

  • •Phi Beta Sigma Fraternity, Inc. (NPHC)
  • •MLT (Management Leadership for Tomorrow)
  • •CodePath
  • •NSBE